Hewlett Packard Enterprise Ushers in Next Era in AI Innovation with Swarm Learning Solution Built for the Edge and Distributed Sites - Seite 3

TigerGraph advances anomaly detection to help banks fight credit card fraud

TigerGraph, provider of a leading graph analytics platform, combines HPE Swarm Learning with its data analytics offering running on HPE ProLiant servers using AMD EPYC processors to augment efforts in quickly detecting unusual activity in credit card transactions. The combined solution increases accuracy when training machine learning models from vast quantities of financial data from multiple banks and branches, across geological locations.

Blog: Fight fraud with precision and security using HPE Swarm Learning

Availability

HPE Swarm Learning is available now in most countries. For more information, please visit: hpe.com/info/swarm-learning

HPE delivers a complete, ready-to-use machine learning development solution

HPE also announced today that it is removing barriers for enterprises to easily build and train machine learning models at scale, to realize value faster, with the new HPE Machine Learning Development System. The new system, which is purpose-built for AI, is an end-to-end solution that integrates a machine learning software platform, compute, accelerators, and networking to develop and train more accurate AI models faster, and at scale.

To learn more about HPE’s AI solutions, please visit: https://www.hpe.com/us/en/solutions/artificial-intelligence.html

About Hewlett Packard Enterprise

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. For more information, visit: www.hpe.com

1. An analysis as of April 13, 2022 of competing offerings that claim privacy preservation found that they either (i) use a federated architecture reliant on a central server, or (ii) if they utilize blockchain, are not enterprise supported solutions.

2. Expected global loss of $408.50 billion in credit card fraud over the next decade. Source: Nilson Report, December 2021

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